Image understanding system is a major step by which intelligent robot make right decisions or complete some control system. It is also an important branch of computer vision. How to construct a reasonable and applicable image understanding system has been a hotspot problem in current intelligent robot research area. In order to accomplish a specific task, an image understanding system needs to know what information is needed from images and how to use these information to work out the problem. The research of image understanding system involves the methods, the devices to obtain the images and the complement of application. This paper mainly discusses the basic framework of image understanding system based on knowledge learning in the intelligent robot and the represtantion, reasoning, learning of framework in image understanding. Further more, this paper makes exploratory study on some crucial technology of image understanding system in the intelligent robot. Finally, this paper does a summary of the prospect of image understanding system.%图像理解系统是智能机器人做出正确决策叶完成一些控制系统的主要环节,也是计算机视觉研究的一个重要分支,如何构建一个合理完善的图像理解系统已成为当今智能机器人研究领域的热点问题.图像理解系统所研究的问题是:为了完成某一任务,需要从图像中获取哪些信息,以及如何利用这些信息获得必要的解释.图像理解的研究要涉及知包含研究获取图像的方法、装置和具体应用的实现.该论文主要论述了智能机器人中基于知识学习的图像理解系统的基本框架结构以及图像理解中框架知识的表示、推理和学习,对智能机器人中图像理解系统的一些关键技术进行了探索性的研究,最后对智能机器人图像理解系统的应用前景做了概括性的总结.
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